While traditional relational databases have supported enterprises for decades, their inflexible schemas, scaling limits, and inability to manage diverse data types make them less adaptable for modern applications. These restrictions pose critical challenges for technology teams aiming to modernize applications and achieve current business objectives.
MongoDB experts created this guide to help application modernization teams, cloud architects, and database engineers understand how to leverage the document model to meet the requirements of modern applications.
The guide also outlines a step-by-step migration process using the MongoDB Relational Migrator, a free developer tool that employs generative AI to automate the most complex parts of migration, significantly reducing effort and minimizing risks.
In this guide, you will learn about:
- The document model and its use in building AI applications.
- Modeling data in MongoDB with embedding and referencing.
- MongoDB drivers, aggregation pipelines, and indexing.
- Ensuring data integrity and durability with multidocument ACID transactions.
- MongoDB's database migration process.
- Migrating a relational database using Relational Migrator.
- MongoDB's professional migration services.
- Customer stories about migrating from an RDBMS to MongoDB successfully.
